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Python Programming and PyVISA for Instrument Automation
Hardware Design
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Hardware Design

Python Programming and PyVISA for Instrument Automation

HRDC Reg. No: 10001602637
Duration: 4 Days (32 Hours)

Course Overview

This 4-day hands-on program provides a complete pathway from Python programming basics to full-fledged instrument automation using PyVISA and SCPI commands. Designed for engineers and researchers working with test and measurement systems, the course covers Python fundamentals, object-oriented design, and practical use of automation tools to control and collect data from VISA-compatible devices. The program concludes with a capstone project that demonstrates end-to-end automation of real-world measurement workflows.


Who Should Attend

  • Test and Measurement Engineers (R&D and production)

  • Software Engineers working with hardware integration

  • Researchers and Academics conducting lab automation

  • QA Engineers automating test benches

  • Engineering Students aiming to build automation portfolios


Why Choose This Course

This HRDC claimable course (Reg. No: 10001602637) delivers dual value: foundational Python programming and advanced instrument control skills using PyVISA. It bridges the gap between electronics measurement and software automation, making participants job-ready for roles in semiconductor, telecom, aerospace, automotive, and research domains.


Learning Outcomes

By the end of this course, participants will be able to:

  • Understand Python basics: syntax, data types, control flow, and file operations

  • Apply object-oriented and functional programming for instrument abstraction

  • Connect and control VISA-compatible instruments using PyVISA

  • Interpret and execute SCPI commands from instrument documentation

  • Automate measurement, data logging, and plotting processes

  • Build reusable Python drivers and GUIs for instrumentation

  • Complete a capstone project showcasing end-to-end test automation


Prerequisites

  • No prior programming experience is required

  • Familiarity with basic electronics or instrumentation concepts is helpful


Teaching Methodology

  • Instructor-led hands-on coding demonstrations

  • Lab-based practice sessions and real hardware simulations

  • Group and individual capstone project

  • Case studies from telecommunications, manufacturing, and R&D


Target Industries

  • Test & Measurement Equipment Manufacturers

  • Telecom and Electronics Engineering

  • Semiconductor and PCB Manufacturing

  • Aerospace and Automotive Test Labs

  • Research & Academic Institutions

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